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Alcohol Intake and Blood Pressure: A Systematic Review Implementing a Mendelian Randomization Approach
Open accessAbstract
BACKGROUND: Alcohol has been reported to be a common and modifiable risk factor for hypertension. However, observational studies are subject to confounding by other behavioural and sociodemographic factors, while clinical trials are difficult to implement and have limited follow-up time. Mendelian randomization can provide robust evidence on the nature of this association by use of a common polymorphism in aldehyde dehydrogenase 2 (ALDH2) as a surrogate for measuring alcohol consumption. ALDH2 encodes a major enzyme involved in alcohol metabolism. Individuals homozygous for the null variant (*2*2) experience adverse symptoms when drinking alcohol and consequently drink considerably less alcohol than wild-type homozygotes (*1*1) or heterozygotes. We hypothesise that this polymorphism may influence the risk of hypertension by affecting alcohol drinking behaviour. METHODS AND FINDINGS: We carried out fixed effect meta-analyses of the ALDH2 genotype with blood pressure (five studies, n = 7,658) and hypertension (three studies, n = 4,219) using studies identified via systematic review. In males, we obtained an overall odds ratio of 2.42 (95% confidence interval [CI] 1.66-3.55, p = 4.8 x 10(-6)) for hypertension comparing *1*1 with *2*2 homozygotes and an odds ratio of 1.72 (95% CI 1.17-2.52, p = 0.006) comparing heterozygotes (surrogate for moderate drinkers) with *2*2 homozygotes. Systolic blood pressure was 7.44 mmHg (95% CI 5.39-9.49, p = 1.1 x 10(-12)) greater among *1*1 than among *2*2 homozygotes, and 4.24 mmHg (95% CI 2.18-6.31, p = 0.00005) greater among heterozygotes than among *2*2 homozygotes. CONCLUSIONS: These findings support the hypothesis that alcohol intake has a marked effect on blood pressure and the risk of hypertension.
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“The dose-response association may differ between men (linear) and women (J shaped)164 and can be modified by metabolic genes.163”
From Resistant Hypertension: Detection, Evaluation, and Management: A Scientific Statement From the American Heart Association (2018) · cites this paper as [163]
In the citing paper
“Alcohol intake has been linked to increases in BP and the risk for developing hypertension.162–164”
From Resistant Hypertension: Detection, Evaluation, and Management: A Scientific Statement From the American Heart Association (2018) · cites this paper as [163]
In the citing paper
“A DASH-style eating pattern,174,175 alcohol restriction to <10 g/d (women) and <20 g/d (men),162–165 and a variety of other dietary modifications174 can each yield significant reductions in BP among patients with hypertension.”
From Resistant Hypertension: Detection, Evaluation, and Management: A Scientific Statement From the American Heart Association (2018) · cites this paper as [163]
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“If the above conditions are met, the estimates obtained from multivariable MR will be a direct effect of each exposure included on the outcome, given the other exposures included in the estimation.74”
From Mendelian randomization (2022) · cites this paper as [74]
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Citations
Cites
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882
BOSRON, W. F., & Li, T. (1986) · Hepatology · doi:10.1002/hep.1840060330 · Cited by 569
Molecular abnormality of an inactive aldehyde dehydrogenase variant commonly found in Orientals.
Yoshida, A., Huang, I. Y., & Ikawa, M. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.1.258 · Cited by 456
Alcohol Consumption and the Incidence of Hypertension
Fuchs, F. D., Chambless, L. E., Whelton, P. K., Nieto, F. J., & HEISS, G. M. (2001) · Hypertension · doi:10.1161/01.hyp.37.5.1242 · Cited by 409
Alcohol and blood pressure: the INTERSALT study
Marmot, M. G., Elliott, P., Shipley, M. J., Dyer, A. R., Ueshima, H., Beevers, D. G., Stamler, R., Kesteloot, H., Rose, G., & Stamler, J. (1994) · BMJ · doi:10.1136/bmj.308.6939.1263 · Cited by 353
Acetaldehyde Metabolism in Different Aldehyde Dehydrogenase‐2 Genotypes
Enomoto, N., Takase, S., Yasuhara, M., & Takada, A. (1991) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.1991.tb00532.x · Cited by 266
Lewis, S. J., & Smith, G. D. (2005) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-05-0196 · Cited by 234
Self-citationThe Role of Acetaldehyde in the Actions of Alcohol (Update 2000)
Eriksson, C. J. P. (2001) · Alcoholism Clinical and Experimental Research · doi:10.1097/00000374-200105051-00005 · Cited by 205
Research works printed but not linked: 29
- Marmot, 1994, BMJ, 308, 1263
- Patel, 2006, J Hum Hypertens, 20, 733
- Fuchs, 2001, Hypertension, 37, 1242
- Moore, 1990, Am J Hypertens, 3, 1
- Davey Smith, 2003, Int J Epidemiol, 32, 1
- Bosron, 1986, Hepatology, 6, 502
- Yoshida, 1984, Proc Natl Acad Sci U S A, 81, 258
- Enomoto, 1991, Alcohol Clin Exp Res, 15, 141
- Lewis, 2005, Cancer Epidemiol Biomarkers Prev, 14, 1967
- Pittler, 2003, CMAJ, 169, 1269
- Mackenzie, 2005, Arterioscler Thromb Vasc Biol, 25, 1891
- Hashimoto, 2002, Clin Chem, 48, 1043
- Okayama, 1994, J Hum Hypertens, 8, 205
- Egger, 1997, BMJ, 315, 629
- Begg, 1994, Biometrics, 50, 1088
- Amamoto, 2002, Hypertens Res, 25, 857
- Takagi, 2001, Hypertens Res, 24, 365
- Tsuritani, 1995, Am J Hypertens, 8, 1053
- Howes, 1986, J Hypertens, 4, 421
- Rosito, 1999, Am J Hypertens, 12, 236
- Beulens, 2007, Ann Intern Med, 146, 10
- Westerterp-Plantenga, 1999, Am J Clin Nutr, 69, 205
- Lukasiewicz, 2005, Public Health Nutr, 8, 315
- Sakurai, 2006, Hypertens Res, 29, 75
- Eriksson, 2001, Alcohol Clin Exp Res, 25, 15S
- Saito, 2003, J Hypertens, 21, 1097
- Yamada, 2006, J Hum Genet, 51, 104
- Davey Smith, 2005, Lancet, 366, 1679
- Iwai, 2004, J Hypertens, 22, 1119
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Mendelian randomization: genetic anchors for causal inference in epidemiological studies
Davey Smith, G., & Hemani, G. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu328 · Cited by 4,677
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
Davies, N. M., Holmes, M. V., & Davey Smith, G. (2018) · BMJ · doi:10.1136/bmj.k601 · Cited by 4,404
Sanderson, E., Glymour, M. M., Holmes, M. V., Kang, H., Morrison, J., Munafò, M. R., Palmer, T., Schooling, C. M., Wallace, C., Zhao, Q., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00092-5 · Cited by 2,229
Guidelines for performing Mendelian randomization investigations
Burgess, S., Smith, G. D., Davies, N. M., Dudbridge, F., Gill, D., Glymour, M. M., Hartwig, F. P., Holmes, M. V., Minelli, C., Relton, C. L., et al. (2019) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15555.1 · Cited by 1,828
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Hemani, G., Bowden, J., & Davey Smith, G. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy163 · Cited by 1,496
“It is important to note that grouping by an exogenous variable like sex (88) is safer than potentially endogenous covariates because it avoids the possibility of collider bias (89).”
BackgroundGenome-wide association study of blood pressure and hypertension
Levy, D., Ehret, G. B., Rice, K., Verwoert, G. C., Launer, L. J., Dehghan, A., Glazer, N. L., Morrison, A. C., Johnson, A. D., Aspelund, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.384 · Cited by 1,364
Guidelines for performing Mendelian randomization investigations
Burgess, S., Davey Smith, G., Davies, N. M., Dudbridge, F., Gill, D., Glymour, M. M., Hartwig, F. P., Holmes, M. V., Minelli, C., Relton, C. L., et al. (2020) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15555.2 · Cited by 1,273
The relationship between different dimensions of alcohol use and the burden of disease—an update
Rehm, J., Gmel, G. E., Gmel, G., Hasan, O. S. M., Imtiaz, S., Popova, S., Probst, C., Roerecke, M., Room, R., Samokhvalov, A. V., et al. (2017) · Addiction · doi:10.1111/add.13757 · Cited by 1,204
Wood, A. M., Kaptoge, S., Butterworth, A. S., Willeit, P., Warnakula, S., Bolton, T., Paige, E., Paul, D. S., Sweeting, M., Burgess, S., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30134-x · Cited by 1,188
Self-citationCarey, R. M., Calhoun, D. A., Bakris, G. L., Brook, R. D., Daugherty, S. L., Dennison-Himmelfarb, C. R., Egan, B. M., Flack, J. M., Gidding, S. S., Judd, E., et al. (2018) · Hypertension · doi:10.1161/hyp.0000000000000084 · Cited by 1,153
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Zheng, J., Baird, D. A., Borges, M. C., Bowden, J., Hemani, G., Haycock, P., Evans, D. M., & Smith, G. D. (2017) · Current Epidemiology Reports · doi:10.1007/s40471-017-0128-6 · Cited by 1,147
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Richmond, R. C., & Davey Smith, G. (2022) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a040501 · Cited by 841
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Burgess, S., Smith, G. D., Davies, N. M., Dudbridge, F., Gill, D., Glymour, M. M., Hartwig, F. P., Kutalik, Z., Holmes, M. V., Minelli, C., et al. (2023) · Wellcome Open Research · doi:10.12688/wellcomeopenres.15555.3 · Cited by 747
Mendelian randomization in cardiometabolic disease: challenges in evaluating causality
Holmes, M. V., Ala-Korpela, M., & Smith, G. D. (2017) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2017.78 · Cited by 679
Holmes, M. V., Dale, C. E., Zuccolo, L., Silverwood, R. J., Guo, Y., Ye, Z., Prieto-Merino, D., Dehghan, A., Trompet, S., Wong, A., et al. (2014) · BMJ · doi:10.1136/bmj.g4164 · Cited by 669
An epidermal patch for the simultaneous monitoring of haemodynamic and metabolic biomarkers
Sempionatto, J. R., Lin, M., Yin, L., De la paz, E., Pei, K., Sonsa-ard, T., de Loyola Silva, A. N., Khorshed, A. A., Zhang, F., Tostado, N., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00685-1 · Cited by 658
Targeting Aldehyde Dehydrogenase 2: New Therapeutic Opportunities
Chen, C., Ferreira, J. C. B., Gross, E. R., & Mochly‐Rosen, D. (2014) · Physiological Reviews · doi:10.1152/physrev.00017.2013 · Cited by 621
Mendelian randomization studies: a review of the approaches used and the quality of reporting
Boef, A. G. C., Dekkers, O. M., & le Cessie, S. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv071 · Cited by 610
Haycock, P., Burgess, S., Wade, K. H., Bowden, J., Relton, C. L., & Smith, G. D. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.118216 · Cited by 595
Relton, C. L., & Davey Smith, G. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr233 · Cited by 567
Kato, N., Takeuchi, F., Tabara, Y., Kelly, T. N., Go, M. J., Sim, X., Tay, W. T., Chen, C.-H., Zhang, Y., Yamamoto, K., et al. (2011) · Nature Genetics · doi:10.1038/ng.834 · Cited by 571
Millwood, I. Y., Walters, R. G., Mei, X. W., Guo, Y., Yang, L., Bian, Z., Bennett, D. A., Chen, Y., Dong, C., Hu, R., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)31772-0 · Cited by 514
Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses
Wallace, C. (2020) · PLOS Genetics · doi:10.1371/journal.pgen.1008720 · Cited by 441
Hart, C. L., Morrison, D. S., Batty, G. D., Mitchell, R. J., & Davey Smith, G. (2010) · BMJ · doi:10.1136/bmj.c1240 · Cited by 422
Bias in causal estimates from Mendelian randomization studies with weak instruments
Burgess, S., & Thompson, S. G. (2011) · Statistics in Medicine · doi:10.1002/sim.4197 · Cited by 421
Mendelian Randomisation and Causal Inference in Observational Epidemiology
Sheehan, N. A., Didelez, V., Burton, P. R., & Tobin, M. D. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050177 · Cited by 373
Smith, G. D. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr117 · Cited by 339
Glymour, M. M., Tchetgen Tchetgen, E. J., & Robins, J. M. (2012) · American Journal of Epidemiology · doi:10.1093/aje/kwr323 · Cited by 292
Davey Smith, G., Holmes, M. V., Davies, N. M., & Ebrahim, S. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00622-7 · Cited by 287
Relton, C. L., & Davey Smith, G. (2010) · PLoS Medicine · doi:10.1371/journal.pmed.1000356 · Cited by 254
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Genomics of hypertension: the road to precision medicine
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Didelez, V., Meng, S., & Sheehan, N. A. (2010) · Statistical Science · doi:10.1214/09-sts316 · Cited by 214
Naimi, T. S., Stockwell, T. R., Zhao, J., Xuan, Z., Dangardt, F., Saitz, R., Liang, W., & Chikritzhs, T. N. (2016) · Addiction · doi:10.1111/add.13451 · Cited by 197
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Wen, W., Zheng, W., Okada, Y., Takeuchi, F., Tabara, Y., Hwang, J., Dorajoo, R., Li, H., Tsai, F., Yang, X., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu248 · Cited by 198
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Abebe, S. M., Berhane, Y., Worku, A., & Getachew, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0125210 · Cited by 198
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Grover, S., Fabiola Del Greco, M., Stein, C. M., & Ziegler, A. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-7274-6_29 · Cited by 146
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Hart, C., Smith, G. D., Gruer, L. D., & Watt, G. C. M. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-789 · Cited by 141
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Effect of alcohol on blood pressure
Tasnim, S., Tang, C., Musini, V. M., & Wright, J. M. (2020) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012787.pub2 · Cited by 136
Alcohol Consumption and Risk of Cardiovascular Disease and Death in Women
Djoussé, L., Lee, I.-M. M., Buring, J. E., & Gaziano, J. M. (2009) · Circulation · doi:10.1161/circulationaha.108.832360 · Cited by 120
The individualistic fallacy, ecological studies and instrumental variables: a causal interpretation
Loney, T., & Nagelkerke, N. J. D. (2014) · Emerging Themes in Epidemiology · doi:10.1186/1742-7622-11-18 · Cited by 116
Strengthening causal inference in cardiovascular epidemiology through Mendelian randomization
Smith, G. D., Timpson, N. J., & Ebrahim, S. B. J. (2008) · Annals of Medicine · doi:10.1080/07853890802010709 · Cited by 112
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Chikritzhs, T. N., Stockwell, T. R., Naimi, T. S., Andréasson, S., Dangardt, F., & Liang, W. (2015) · Addiction · doi:10.1111/add.12828 · Cited by 119
Alcohol intake and cardiovascular risk factors: A Mendelian randomisation study
Cho, Y., Shin, S.-Y., Won, S., Relton, C. L., Smith, G. D., & Shin, M. (2015) · Scientific Reports · doi:10.1038/srep18422 · Cited by 109
Leon, D. A., Shkolnikov, V. M., McKee, M., Kiryanov, N., & Andreev, E. (2010) · International Journal of Epidemiology · doi:10.1093/ije/dyq102 · Cited by 106
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Tian, H., Mason, A. M., Liu, C., & Burgess, S. (2023) · PLoS Genetics · doi:10.1371/journal.pgen.1010823 · Cited by 104
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Lawlor, D. A., Nordestgaard, B. G., Benn, M., Zuccolo, L., Tybjærg‐Hansen, A., & Smith, G. D. (2013) · European Heart Journal · doi:10.1093/eurheartj/eht081 · Cited by 96
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Francis, J. M., Grosskurth, H., Changalucha, J., Kapiga, S. H., & Weiss, H. A. (2014) · Tropical Medicine & International Health · doi:10.1111/tmi.12267 · Cited by 88
Spiller, W., Slichter, D., Bowden, J., & Davey Smith, G. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy204 · Cited by 90
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van de Luitgaarden, I. A. T., van Oort, S., Bouman, E. J., Schoonmade, L. J., Schrieks, I. C., Grobbee, D. E., van der Schouw, Y. T., Larsson, S. C., Burgess, S., van Ballegooijen, A. J., et al. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00799-5 · Cited by 88
Banerjee, D., Winocour, P. H., Chowdhury, T. A., De, P., Wahba, M. M., Montero, R., Fogarty, D. G., Frankel, A., Karalliedde, J. J., Mark, P. B., et al. (2022) · BMC Nephrology · doi:10.1186/s12882-021-02587-5 · Cited by 92
Zemore, S. E., Karriker‐Jaffe, K. J., Mulia, N., Kerr, W. C., Ehlers, C. L., Cook, W. K., Martínez, P., Lui, C. K., & Greenfield, T. K. (2017) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2018.79.7 · Cited by 82
Yokoyama, A., Mizukami, T., Matsui, T., Yokoyama, A., Kimura, M., Matsushita, S., Higuchi, S., & Maruyama, K. (2013) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12108 · Cited by 80
Lovegrove, C. E., Howles, S., Furniss, D., & Holmes, M. V. (2024) · Journal of Bone and Mineral Research · doi:10.1093/jbmr/zjae136 · Cited by 80
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Swanson, S. A., & Hernán, M. A. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyx038 · Cited by 71
Bjørngaard, J. H., Gunnell, D., Elvestad, M. B., Smith, G. D., Skorpen, F., Krokan, H., Vatten, L., & Romundstad, P. (2013) · Psychological Medicine · doi:10.1017/s0033291712001274 · Cited by 71
Spijkerman, R., Roek, M. A. E., Vermulst, A. A., Lemmers, L., Huiberts, A., & Engels, R. C. M. E. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1465 · Cited by 65
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Kokubo, Y. (2014) · Hypertension · doi:10.1161/hypertensionaha.113.00543 · Cited by 74
Halanych, J. H., Safford, M. M., Kertesz, S. G., Pletcher, M. J., Kim, Y., Person, S. D., Lewis, C. E., & Kiefe, C. I. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwp417 · Cited by 69
Ethnic differences in genetic predisposition to hypertension
Kato, N. (2012) · Hypertension Research · doi:10.1038/hr.2012.44 · Cited by 64
Zuccolo, L., Fitz-Simon, N., Gray, R., Ring, S. M., Sayal, K. S., Smith, G. D., & Lewis, S. J. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp388 · Cited by 63
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Millard, L. A. C., Munafo, M. R., Tilling, K. M., Wootton, R. E., & Smith, G. D. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008353 · Cited by 61
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Chabris, C. F., Lee, J. J., Benjamin, D. J., Beauchamp, J. P., Glaeser, E. L., Borst, G., Pinker, S. A., & Laibson, D. (2013) · American Journal of Public Health · doi:10.2105/ajph.2013.301327 · Cited by 67
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Qi, L. (2009) · Nutrition Reviews · doi:10.1111/j.1753-4887.2009.00218.x · Cited by 57
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Timpson, N. J., Wade, K. H., & Smith, G. D. (2011) · Current Hypertension Reports · doi:10.1007/s11906-011-0242-7 · Cited by 60
Burgess, S., & Cronjé, H. T. (2024) · eGastroenterology · doi:10.1136/egastro-2023-100042 · Cited by 57
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Vieira, B. A., Luft, V. C., Schmidt, M. I., Chambless, L. E., Chor, D., Barreto, S. M., & Duncan, B. B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163044 · Cited by 56
Drenos, F., Talmud, P. J., Casas, J. P., Smeeth, L. L., Palmen, J., Humphries, S. E., & Hingorani, A. D. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp159 · Cited by 55
Schutte, R., Papageorgiou, M., Najlah, M., Huisman, H. W., Ricci, C., Zhang, J., Milner, N., & Schutte, A. E. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.02.009 · Cited by 56
Metadata
- Authors
- Chen, L., Davey Smith, G., Harbord, R. M., & Lewis, S. J.
- Affiliations
- University of Bristol (GB)
- Corresponding author
- Lewis, Sarah J
- Venue
- PLoS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-03-04
- Volume
- 5
- Issue
- 3
- Pages
- e52
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- PMC
- PMC2265305
- OpenAlex
- W2097040757
- Cited by
- 314
- References
- 32
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 18 · 2023: 13 · 2022: 15 · 2021: 17 · 2020: 27 · 2019: 17 · 2018: 21 · 2017: 16 · 2016: 19 · 2015: 15 · 2014: 20 · 2013: 22 · 2012: 25
- FWCI
- 2.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (publishedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Medical Research Council
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Keywords
- alcohol consumption, blood pressure, hypertension, ALDH2, ALDH2 polymorphism, genetic susceptibility, alcohol metabolism, systolic blood pressure
- MeSH terms
- Alcohol Dehydrogenase, Alcohol Drinking, Blood Pressure, Humans, Hypertension, Male, Genetic Predisposition to Disease
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